- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Refining neural network predictions using background knowledge ; day:14 ; month:3 ; year:2023 ; pages:1-39
Machine learning ; (14.3.2023), 1-39
- Urheber
-
Daniele, Alessandro
Krieken, Emile van
Serafini, Luciano
Harmelen, Frank van
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s10994-023-06310-3
- URN
-
urn:nbn:de:101:1-2023080421105354982139
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:47 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Daniele, Alessandro
- Krieken, Emile van
- Serafini, Luciano
- Harmelen, Frank van
- SpringerLink (Online service)
Ähnliche Objekte (12)
A Semi-Supervised Approach for Refining Transcriptional Signatures of Drug Response and Repositioning Predictions
Stationary flow predictions using convolutional neural networks
Engineering background knowledge for social robots
Developing ontological background knowledge for biomedicine
Developing Ontological Background Knowledge for Biomedicine
Refining Bayesian hierarchical MPT modeling: Integrating prior knowledge and ordinal expectations
Refining Bayesian hierarchical MPT modeling: Integrating prior knowledge and ordinal expectations
Refining neural network algorithms for accurate brain tumor classification in MRI imagery
Explaining arguments with background knowledge : Towards knowledge-based argumentation analysis
Refining safety code
Fischer-Tropsch refining
Refining ideal behaviours
A Semi-Supervised Approach for Refining Transcriptional Signatures of Drug Response and Repositioning Predictions
Stationary flow predictions using convolutional neural networks
Engineering background knowledge for social robots
Developing ontological background knowledge for biomedicine
Developing Ontological Background Knowledge for Biomedicine
Refining Bayesian hierarchical MPT modeling: Integrating prior knowledge and ordinal expectations
Refining Bayesian hierarchical MPT modeling: Integrating prior knowledge and ordinal expectations
Refining neural network algorithms for accurate brain tumor classification in MRI imagery
Explaining arguments with background knowledge : Towards knowledge-based argumentation analysis
Refining safety code
Fischer-Tropsch refining
Refining ideal behaviours
A Semi-Supervised Approach for Refining Transcriptional Signatures of Drug Response and Repositioning Predictions
Stationary flow predictions using convolutional neural networks
Engineering background knowledge for social robots
Developing ontological background knowledge for biomedicine
Developing Ontological Background Knowledge for Biomedicine
Refining Bayesian hierarchical MPT modeling: Integrating prior knowledge and ordinal expectations
Refining Bayesian hierarchical MPT modeling: Integrating prior knowledge and ordinal expectations
Refining neural network algorithms for accurate brain tumor classification in MRI imagery
Explaining arguments with background knowledge : Towards knowledge-based argumentation analysis
Refining safety code
Fischer-Tropsch refining